On the association analysis of CNV data: a fast and robust family-based association method-Reference-Cited by-同舟云学术

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On the association analysis of CNV data: a fast and robust family-based association method

Published:2017-04-18 Issue:1 Volume:18 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Liu Meiling,Moon Sanghoon,Wang Longfei,Kim Sulgi,Kim Yeon-Jung,Hwang Mi Yeong,Kim Young Jin,Elston Robert C.,Kim Bong-Jo,Won Sungho

Funder

National Research Foundation of Korea Grant by Korean Government

Ministry of Education

Korea National Institute of Health

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-017-1622-z.pdf

Reference32 articles.

1. Sharp AJ, Cheng Z, Eichler EE. Structural variation of the human genome. Annu Rev Genomics Hum Genet. 2006;7:407–42.

2. Feuk L, Carson AR, Scherer SW. Structural variation in the human genome. Nat Rev Genet. 2006;7(2):85–97.

3. Lupski J. Genomic Disorders: The Genomic Basis of Disease. J Med Genet. 2008;45:S32.

4. McCarroll SA, Altshuler DM. Copy-number variation and association studies of human disease. Nat Genet. 2007;39:S37–42.

5. Wang K, Li MY, Hadley D, Liu R, Glessner J, Grant SFA, Hakonarson H, Bucan M. PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Res. 2007;17(11):1665–74.

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